19–26 April | Bangalore, Hyderabad, Pune

Call for Papers for MATLAB EXPO 2019

MathWorks invites you to submit an abstract regarding how you have successfully used MATLAB and Simulink for developing your applications. If selected, you may be offered an
opportunity to present at MATLAB EXPO 2019.

The MATLAB EXPO Experience

Welcome and Introductions

Kishore Rao, Mathworks

Kishore Rao is the managing director of MathWorks India. With over 25 years of industry experience, he has deep knowledge and expertise in software sales across industry sectors in India, with a focus on design and development applications. Prior to joining MathWorks, Kishore was vice president, strategic outsourcing, at IBM India and held the position of managing director for India at Parametric Technology Corporation (PTC). He holds a bachelor’s degree in mechanical engineering from National Institute of Technology, Durgapur, and a postgraduate degree in business management from XLRI Jamshedpur.

What's New in MATLAB and Simulink

Learn about the new capabilities in the latest releases of MATLAB® and Simulink® that will help your research, design, and development workflows become more efficient. MATLAB highlights include updates for writing and sharing code with the Live Editor, developing and sharing MATLAB apps with App Designer, and managing and analyzing data. Simulink highlights include updates to the Simulation Manager that allow you to run multiple simulations in parallel and new smart editing capabilities to build up models even faster. There are also new tools that make it easier to automatically upgrade your projects to the latest release.

Prashant Rao, Technical Manager, MathWorks India

Prashant Rao is a technical manager at MathWorks India. He leads a team of customer-facing engineers encompassing the application engineering, pilot engineering, and customer training roles. By applying industry and application expertise across numerous domains, Prashant and his team work with customers to enable the adoption of MATLAB and Simulink products for technical computing and Model-Based Design. Prashant has over 15 years of experience in application engineering and hardware design engineering roles. Prashant joined MathWorks in Germany in 2005 and worked with customers in the signal processing, communications, HDL code generation, and HDL verification domains before moving to India in 2009 to lead the MathWorks India Application Engineering team. Prior to joining MathWorks, Prashant worked at two semiconductor IP startup companies, Starcore LLC and PACT XPP Technologies AG. He has a master’s equivalent degree (Dipl.-Ing.) in microelectronics from the Technical University of Hamburg-Harburg (TUHH), Germany.

Welcome and Introductions

AI, or artificial intelligence, is powering a massive shift in how engineers, scientists, and programmers develop and improve products and services. 85% of executives expect to gain or strengthen their competitive advantage through the use of AI, but is AI really poised to transform your research, products, or business?

In this presentation, head of MATLAB® Product Management, Michelle Hirsch, demystifies AI, challenging you to look for opportunities to leverage it in your work. You will also learn how MATLAB and Simulink® are giving engineers and scientists AI capabilities that were once available only to highly-specialized software developers and data scientists.

Michelle Hirsch, MathworksTechnical Manager, MathWorks India

Michelle Hirsch is the head of MATLAB Product Management at MathWorks. Michelle and her team partner with the development leads to drive the strategy and direction for MATLAB. She has 22 years of experience with MATLAB, including 7 years traveling the world speaking with MATLAB users and 8 years in her current role. Prior to joining MathWorks in 2001, she was an acoustician for Boeing. Michelle has a B.S. in physics and mathematics from the College of William and Mary, a M.S. in acoustics from Pennsylvania State University, and a Ph.D. in mechanical engineering from the University of Delaware.

Data Analytics Applications

Learn how to build a predictive analytics application and put it into production using MATLAB and Simulink. The track also focuses on techniques in MATLAB for processing big data and carrying out numerical optimization.

Controls and Embedded Systems

See a complete workflow for Model-Based Design from designing complex multi-domain systems to the verification and validation of models to code generation for embedded software development.

Signal Processing Systems

Learn about designing and implementing signal processing systems for various applications such as audio processing, wireless communications, and radar.

Robotics and Autonomous Systems

Learn how to develop robotics and autonomous applications using MATLAB and Simulink, including interfacing with Robot Operating System and automatically deploying algorithms.